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Efficient Streaming Language Models with Attention Sinks., , , , and . CoRR, (2023)Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions., , , , , , , , , and 4 other author(s). CoRR, (2023)Scatterbrain: Unifying Sparse and Low-rank Attention Approximation., , , , , and . CoRR, (2021)Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding., , , , , , and . CoRR, (2024)Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models., , , , , , and . CoRR, (2021)Learn To be Efficient: Build Structured Sparsity in Large Language Models., , , , and . CoRR, (2024)Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer., , , and . CoRR, (2023)Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation., , and . CoRR, (2019)SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems, , , , , and . (2019)cite arxiv:1903.03129Comment: Published at MLSys 2020.SOLAR: Sparse Orthogonal Learned and Random Embeddings., , and . ICLR, OpenReview.net, (2021)